煤炭工程 ›› 2017, Vol. 49 ›› Issue (10): 55-58.doi: 10.11799/ce201710013

• 设计技术 • 上一篇    下一篇

ZigBee技术与信息融合在煤矿安全监测中的应用与研究

吴景红   

  1. 中国神华神东布尔台煤矿
  • 收稿日期:2017-05-23 修回日期:2017-08-11 出版日期:2017-10-25 发布日期:2018-03-22
  • 通讯作者: 吴景红 E-mail:wujinghongbj@163.com

  • Received:2017-05-23 Revised:2017-08-11 Online:2017-10-25 Published:2018-03-22

摘要: 针对煤矿生产作业环境和开采过程中的灾害危险因素,设计了基于ZigBee技术与信息融合的煤矿安全监测系统。通过构建基于ZigBee协议的无线传感器网络,实现对井下环境数据的采集、传输。本文根据系统的数据分析的具体需求,提出基于模糊贴近度和灰色关联度的两级数据融合模型,其中采用模糊贴近度算法作为一级数据融合,提取环境参数特征向量。二级数据融合利用灰色关联度算法对特征向量再次进行融合,通过对现场数据分析,结果表明该算法可以准确地判定矿井的安全状况,给出煤矿安全等级决策。

Abstract: In view of coal mine production operation environment and disaster risk factors in the process of mining, based on ZigBee technology and the information fusion of coal mine safety monitoring system.By building a wireless sensor network based on ZigBee protocol, implementation of downhole environmental data collection, transmission, and then via the industrial Ethernet will collect data sent to the monitoring center computer.According to the requirements of system data fusion, is proposed in this paper, based on fuzzy closeness and two levels of data fusion model of grey correlation degree, level data fusion using fuzzy closeness algorithm to extract the environment parameter feature vector.Secondary data fusion by using grey correlation algorithm to fusion of feature vector again, accurately determine the safety status of coal mine, coal mine safety level decision-making is given.

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